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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
'5
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'25

Papers (including subtopics)

FairFed: Enabling Group Fairness in Federated Learning AAAI 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023 Fairness and Stability in Complex Domains IJCAI 2023 Fairness and Welfare Quantification for Regret in Multi-Armed Bandits AAAI 2023 Fairness Aware Counterfactuals for Subgroups NeurIPS 2023 Fairness Concepts for Indivisible Items with Externalities AAAI 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Faith and Fate: Limits of Transformers on Compositionality NeurIPS 2023 Faithful Question Answering with Monte-Carlo Planning ACL 2023 Faith-Shap: The Faithful Shapley Interaction Index JMLR 2023 Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion Interspeech 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023 FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks CVPR 2023 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning AAAI 2023 Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation ICCV 2023 Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints ACL 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions EMNLP 2023